NeuroMesh

NeuroMesh is a distributed training protocol designed to harness the underutilized computing power of devices around the world for the development of large-scale AI models. By replacing the traditional Backpropagation (BP) algorithm with Predictive Coding Networks (PCNs), NeuroMesh achieves efficient parallelization, asynchronous learning, and low network costs, thereby facilitating scalable distributed training.